{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"http://hilpisch.com/tpq_logo.png\" alt=\"The Python Quants\" width=\"35%\" align=\"right\" border=\"0\"><br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Python for Algorithmic Trading\n",
    "\n",
    "**Chapter 10 &mdash; Automating Trading Operations**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Risk Disclaimer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font size=\"-1\">\n",
    "Trading forex/CFDs on margin carries a high level of risk and may not be suitable for all investors as you could sustain losses in excess of deposits. Leverage can work against you. Due to the certain restrictions imposed by the local law and regulation, German resident retail client(s) could sustain a total loss of deposited funds but are not subject to subsequent payment obligations beyond the deposited funds. Be aware and fully understand all risks associated with the market and trading. Prior to trading any products, carefully consider your financial situation and experience level. Any opinions, news, research, analyses, prices, or other information is provided as general market commentary, and does not constitute investment advice. Oanda & TPQ will not accept liability for any loss or damage, including without limitation to, any loss of profit, which may arise directly or indirectly from use of or reliance on such information.\n",
    "</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Author Disclaimer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<font size=\"-1\">\n",
    "The author is neither an employee, agent nor representative of Oanda and is therefore acting independently. The opinions given are their own, constitute general market commentary, and do not constitute the opinion or advice of Oanda or any form of personal or investment advice. Oanda assumes no responsibility for any loss or damage, including but not limited to, any loss or gain arising out of the direct or indirect use of this or any other content. Trading forex/CFDs on margin carries a high level of risk and may not be suitable for all investors as you could sustain losses in excess of deposits.\n",
    "</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "import time\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import datetime as dt\n",
    "from pylab import plt, mpl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(1000)\n",
    "plt.style.use('seaborn')\n",
    "mpl.rcParams['font.family'] = 'serif'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Capital Management"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Kelly Criterion in a Binomial Setting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "p = 0.55"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = p - (1 - p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.10000000000000009"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "I = 50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "n = 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def run_simulation(f):\n",
    "    c = np.zeros((n, I))\n",
    "    c[0] = 100\n",
    "    for i in range(I):\n",
    "        for t in range(1, n):\n",
    "            o = np.random.binomial(1, p)\n",
    "            if o > 0:\n",
    "                c[t, i] = (1 + f) * c[t - 1, i]\n",
    "            else:\n",
    "                c[t, i] = (1 - f) * c[t - 1, i]\n",
    "    return c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "c_1 = run_simulation(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[100.  , 100.  , 100.  , ..., 100.  , 100.  , 100.  ],\n",
       "       [ 90.  , 110.  ,  90.  , ..., 110.  ,  90.  , 110.  ],\n",
       "       [ 99.  , 121.  ,  99.  , ..., 121.  ,  81.  , 121.  ],\n",
       "       ...,\n",
       "       [226.35, 338.13, 413.27, ..., 123.97, 123.97, 123.97],\n",
       "       [248.99, 371.94, 454.6 , ..., 136.37, 136.37, 136.37],\n",
       "       [273.89, 409.14, 409.14, ..., 122.73, 150.01, 122.73]])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c_1.round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(c_1, 'b', lw=0.5)\n",
    "plt.plot(c_1.mean(axis=1), 'r', lw=2.5);\n",
    "# plt.savefig('../../images/ch12/auto_plot_01.png');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "c_2 = run_simulation(0.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "c_3 = run_simulation(0.25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "c_4 = run_simulation(0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(c_1.mean(axis=1), 'r', label='$f^*=0.1$')\n",
    "plt.plot(c_2.mean(axis=1), 'b', label='$f=0.05$')\n",
    "plt.plot(c_3.mean(axis=1), 'y', label='$f=0.25$')\n",
    "plt.plot(c_4.mean(axis=1), 'm', label='$f=0.5$')\n",
    "plt.legend(loc=0);\n",
    "# plt.savefig('../../images/ch12/auto_plot_02.png');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Kelly Criterion for Stocks and Indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw = pd.read_csv('http://hilpisch.com/pyalgo_eikon_eod_data.csv',\n",
    "                  index_col=0, parse_dates=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "symbol = '.SPX'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.DataFrame(raw[symbol])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['return'] = np.log(data / data.shift(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>.SPX</th>\n",
       "      <th>return</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-12-23</th>\n",
       "      <td>3224.01</td>\n",
       "      <td>0.000866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-24</th>\n",
       "      <td>3223.38</td>\n",
       "      <td>-0.000195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-27</th>\n",
       "      <td>3240.02</td>\n",
       "      <td>0.000034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-30</th>\n",
       "      <td>3221.29</td>\n",
       "      <td>-0.005798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-31</th>\n",
       "      <td>3230.78</td>\n",
       "      <td>0.002942</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               .SPX    return\n",
       "Date                         \n",
       "2019-12-23  3224.01  0.000866\n",
       "2019-12-24  3223.38 -0.000195\n",
       "2019-12-27  3240.02  0.000034\n",
       "2019-12-30  3221.29 -0.005798\n",
       "2019-12-31  3230.78  0.002942"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "mu = data['return'].mean() * 252"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.09992181916534204"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "sigma = data['return'].std() * 252 ** 0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.14761569775486563"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sigma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "r = 0.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = (mu - r) / sigma ** 2 # <5>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.585590244019818"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "equs = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "def kelly_strategy(f):\n",
    "    global equs\n",
    "    equ = 'equity_{:.2f}'.format(f)\n",
    "    equs.append(equ)\n",
    "    cap = 'capital_{:.2f}'.format(f)\n",
    "    data[equ] = 1\n",
    "    data[cap] = data[equ] * f\n",
    "    for i, t in enumerate(data.index[1:]):\n",
    "        t_1 = data.index[i]\n",
    "        data.loc[t, cap] = data[cap].loc[t_1] * \\\n",
    "                            math.exp(data['return'].loc[t])\n",
    "        data.loc[t, equ] = data[cap].loc[t] - \\\n",
    "                            data[cap].loc[t_1] + \\\n",
    "                            data[equ].loc[t_1]\n",
    "        data.loc[t, cap] = data[equ].loc[t] * f"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "kelly_strategy(f * 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "kelly_strategy(f * 0.66)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "kelly_strategy(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            equity_2.29  equity_3.03  equity_4.59\n",
      "Date                                             \n",
      "2019-12-23     6.628865     9.585294    14.205748\n",
      "2019-12-24     6.625895     9.579626    14.193019\n",
      "2019-12-27     6.626410     9.580610    14.195229\n",
      "2019-12-30     6.538582     9.412991    13.818934\n",
      "2019-12-31     6.582748     9.496919    14.005618\n"
     ]
    }
   ],
   "source": [
    "print(data[equs].tail())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = data['return'].cumsum().apply(np.exp).plot(figsize=(10, 6))\n",
    "data[equs].plot(ax=ax, legend=True);\n",
    "# plt.savefig('../../images/ch12/auto_plot_03.png');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ML-Based Trading Strategy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Vectorized Backtesting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tpqoa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.22 ms, sys: 1.26 ms, total: 2.47 ms\n",
      "Wall time: 1.43 ms\n"
     ]
    }
   ],
   "source": [
    "%time api = tpqoa.tpqoa('../pyalgo.cfg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "instrument = 'EUR_USD'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw = api.get_history(instrument,\n",
    "                       start='2020-06-08',\n",
    "                       end='2020-06-13',\n",
    "                       granularity='M10',\n",
    "                       price='M')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>o</th>\n",
       "      <th>h</th>\n",
       "      <th>l</th>\n",
       "      <th>c</th>\n",
       "      <th>volume</th>\n",
       "      <th>complete</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-06-12 20:10:00</th>\n",
       "      <td>1.12572</td>\n",
       "      <td>1.12593</td>\n",
       "      <td>1.12532</td>\n",
       "      <td>1.12568</td>\n",
       "      <td>221</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-12 20:20:00</th>\n",
       "      <td>1.12569</td>\n",
       "      <td>1.12578</td>\n",
       "      <td>1.12532</td>\n",
       "      <td>1.12558</td>\n",
       "      <td>163</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-12 20:30:00</th>\n",
       "      <td>1.12560</td>\n",
       "      <td>1.12573</td>\n",
       "      <td>1.12534</td>\n",
       "      <td>1.12543</td>\n",
       "      <td>192</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-12 20:40:00</th>\n",
       "      <td>1.12544</td>\n",
       "      <td>1.12594</td>\n",
       "      <td>1.12528</td>\n",
       "      <td>1.12542</td>\n",
       "      <td>219</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-12 20:50:00</th>\n",
       "      <td>1.12544</td>\n",
       "      <td>1.12624</td>\n",
       "      <td>1.12541</td>\n",
       "      <td>1.12554</td>\n",
       "      <td>296</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           o        h        l        c  volume  complete\n",
       "time                                                                     \n",
       "2020-06-12 20:10:00  1.12572  1.12593  1.12532  1.12568     221      True\n",
       "2020-06-12 20:20:00  1.12569  1.12578  1.12532  1.12558     163      True\n",
       "2020-06-12 20:30:00  1.12560  1.12573  1.12534  1.12543     192      True\n",
       "2020-06-12 20:40:00  1.12544  1.12594  1.12528  1.12542     219      True\n",
       "2020-06-12 20:50:00  1.12544  1.12624  1.12541  1.12554     296      True"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 701 entries, 2020-06-08 00:00:00 to 2020-06-12 20:50:00\n",
      "Data columns (total 6 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   o         701 non-null    float64\n",
      " 1   h         701 non-null    float64\n",
      " 2   l         701 non-null    float64\n",
      " 3   c         701 non-null    float64\n",
      " 4   volume    701 non-null    int64  \n",
      " 5   complete  701 non-null    bool   \n",
      "dtypes: bool(1), float64(4), int64(1)\n",
      "memory usage: 33.5 KB\n"
     ]
    }
   ],
   "source": [
    "raw.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "spread = 0.00012"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean = raw['c'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00010599557439495706"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ptc = spread / mean\n",
    "ptc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "raw['c'].plot(figsize=(10, 6), legend=True);\n",
    "# plt.savefig('../../images/ch12/auto_plot_04.png');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.DataFrame(raw['c'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.columns = [instrument,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "window = 20\n",
    "data['return'] = np.log(data / data.shift(1))\n",
    "data['vol'] = data['return'].rolling(window).std()\n",
    "data['mom'] = np.sign(data['return'].rolling(window).mean())\n",
    "data['sma'] = data[instrument].rolling(window).mean()\n",
    "data['min'] = data[instrument].rolling(window).min()\n",
    "data['max'] = data[instrument].rolling(window).max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "lags = 6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "features = ['return', 'vol', 'mom', 'sma', 'min', 'max']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = []\n",
    "for f in features:\n",
    "    for lag in range(1, lags + 1):\n",
    "        col = f'{f}_lag_{lag}'\n",
    "        data[col] = data[f].shift(lag)\n",
    "        cols.append(col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['direction'] = np.where(data['return'] > 0, 1, -1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>return_lag_1</th>\n",
       "      <th>return_lag_2</th>\n",
       "      <th>return_lag_3</th>\n",
       "      <th>return_lag_4</th>\n",
       "      <th>return_lag_5</th>\n",
       "      <th>return_lag_6</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-06-08 04:20:00</th>\n",
       "      <td>0.000097</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>-0.000452</td>\n",
       "      <td>0.000035</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-08 04:30:00</th>\n",
       "      <td>-0.000115</td>\n",
       "      <td>0.000097</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>-0.000452</td>\n",
       "      <td>0.000035</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-08 04:40:00</th>\n",
       "      <td>0.000027</td>\n",
       "      <td>-0.000115</td>\n",
       "      <td>0.000097</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>-0.000452</td>\n",
       "      <td>0.000035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-08 04:50:00</th>\n",
       "      <td>-0.000142</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>-0.000115</td>\n",
       "      <td>0.000097</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>-0.000452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-08 05:00:00</th>\n",
       "      <td>0.000035</td>\n",
       "      <td>-0.000142</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>-0.000115</td>\n",
       "      <td>0.000097</td>\n",
       "      <td>0.000018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-08 05:10:00</th>\n",
       "      <td>-0.000159</td>\n",
       "      <td>0.000035</td>\n",
       "      <td>-0.000142</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>-0.000115</td>\n",
       "      <td>0.000097</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     return_lag_1  return_lag_2  return_lag_3  return_lag_4  \\\n",
       "time                                                                          \n",
       "2020-06-08 04:20:00      0.000097      0.000018     -0.000452      0.000035   \n",
       "2020-06-08 04:30:00     -0.000115      0.000097      0.000018     -0.000452   \n",
       "2020-06-08 04:40:00      0.000027     -0.000115      0.000097      0.000018   \n",
       "2020-06-08 04:50:00     -0.000142      0.000027     -0.000115      0.000097   \n",
       "2020-06-08 05:00:00      0.000035     -0.000142      0.000027     -0.000115   \n",
       "2020-06-08 05:10:00     -0.000159      0.000035     -0.000142      0.000027   \n",
       "\n",
       "                     return_lag_5  return_lag_6  \n",
       "time                                             \n",
       "2020-06-08 04:20:00      0.000000      0.000009  \n",
       "2020-06-08 04:30:00      0.000035      0.000000  \n",
       "2020-06-08 04:40:00     -0.000452      0.000035  \n",
       "2020-06-08 04:50:00      0.000018     -0.000452  \n",
       "2020-06-08 05:00:00      0.000097      0.000018  \n",
       "2020-06-08 05:10:00     -0.000115      0.000097  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[cols].iloc[:lags, :lags]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import AdaBoostClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_estimators=15\n",
    "random_state=100\n",
    "max_depth=2\n",
    "min_samples_leaf=15\n",
    "subsample=0.33"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "dtc = DecisionTreeClassifier(random_state=random_state,\n",
    "                             max_depth=max_depth,\n",
    "                            min_samples_leaf=min_samples_leaf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = AdaBoostClassifier(base_estimator=dtc,\n",
    "                          n_estimators=n_estimators,\n",
    "                          random_state=random_state)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "split = int(len(data) * 0.7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = data.iloc[:split].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "mu, std = train.mean(), train.std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_ = (train - mu) / std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AdaBoostClassifier(algorithm='SAMME.R',\n",
       "                   base_estimator=DecisionTreeClassifier(ccp_alpha=0.0,\n",
       "                                                         class_weight=None,\n",
       "                                                         criterion='gini',\n",
       "                                                         max_depth=2,\n",
       "                                                         max_features=None,\n",
       "                                                         max_leaf_nodes=None,\n",
       "                                                         min_impurity_decrease=0.0,\n",
       "                                                         min_impurity_split=None,\n",
       "                                                         min_samples_leaf=15,\n",
       "                                                         min_samples_split=2,\n",
       "                                                         min_weight_fraction_leaf=0.0,\n",
       "                                                         presort='deprecated',\n",
       "                                                         random_state=100,\n",
       "                                                         splitter='best'),\n",
       "                   learning_rate=1.0, n_estimators=15, random_state=100)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(train_[cols], train['direction'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8050847457627118"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(train['direction'], model.predict(train_[cols]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = data.iloc[split:].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_ = (test - mu) / std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "test['position'] = model.predict(test_[cols])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5665024630541872"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(test['direction'], test['position'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "test['strategy'] = test['position'] * test['return']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "77"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(test['position'].diff() != 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "test['strategy_tc'] = np.where(test['position'].diff() != 0,\n",
    "                               test['strategy'] - ptc,\n",
    "                               test['strategy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "return         0.990182\n",
       "strategy       1.015827\n",
       "strategy_tc    1.007570\n",
       "dtype: float64"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test[['return', 'strategy', 'strategy_tc']].sum(\n",
    "        ).apply(np.exp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test[['return', 'strategy', 'strategy_tc']].cumsum(\n",
    "        ).apply(np.exp).plot(figsize=(10, 6));\n",
    "# plt.savefig('../../images/ch12/auto_plot_05.png');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "return        -1.705965\n",
       "strategy_tc    1.304023\n",
       "dtype: float64"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean = test[['return', 'strategy_tc']].mean() * len(data) * 52\n",
    "mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "return         0.011306\n",
       "strategy_tc    0.011370\n",
       "dtype: float64"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var = test[['return', 'strategy_tc']].var() * len(data) * 52\n",
    "var"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "return         0.106332\n",
       "strategy_tc    0.106631\n",
       "dtype: float64"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vol = var ** 0.5\n",
    "vol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "return        -150.884961\n",
       "strategy_tc    114.687875\n",
       "dtype: float64"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean / var"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "return        -75.442481\n",
       "strategy_tc    57.343938\n",
       "dtype: float64"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean / var * 0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "to_plot = ['return', 'strategy_tc']  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "for lev in [10, 20, 30, 40, 50]:  \n",
    "    label = 'lstrategy_tc_%d' % lev  \n",
    "    test[label] = test['strategy_tc'] * lev\n",
    "    to_plot.append(label)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test[to_plot].cumsum().apply(np.exp).plot(figsize=(10, 6));\n",
    "# plt.savefig('../../images/ch12/auto_plot_06.png');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Risk Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "equity = 3333"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "risk = pd.DataFrame(test['lstrategy_tc_30'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "risk['equity'] = risk['lstrategy_tc_30'].cumsum(\n",
    "                          ).apply(np.exp) * equity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "risk['cummax'] = risk['equity'].cummax()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "risk['drawdown'] = risk['cummax'] - risk['equity']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "511.38321383258017"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "risk['drawdown'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2020-06-12 10:30:00')"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_max = risk['drawdown'].idxmax()\n",
    "t_max"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = risk['drawdown'][risk['drawdown'] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "periods = (temp.index[1:].to_pydatetime() -\n",
    "           temp.index[:-1].to_pydatetime())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([datetime.timedelta(seconds=600), datetime.timedelta(seconds=1200),\n",
       "       datetime.timedelta(seconds=1200), datetime.timedelta(seconds=1200)],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "periods[20:30]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "t_per = periods.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.timedelta(seconds=26400)"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_per"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7.333333333333333"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_per.seconds / 60 / 60"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "risk[['equity', 'cummax']].plot(figsize=(10, 6))\n",
    "plt.axvline(t_max, c='r', alpha=0.5);\n",
    "# plt.savefig('../../images/ch12/auto_plot_07.png');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy.stats as scs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "percs = [0.01, 0.1, 1., 2.5, 5.0, 10.0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "risk['return'] = np.log(risk['equity'] /\n",
    "                         risk['equity'].shift(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "VaR = scs.scoreatpercentile(equity * risk['return'], percs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_var():\n",
    "    print('{}    {}'.format('Confidence Level', 'Value-at-Risk'))\n",
    "    print(33 * '-')\n",
    "    for pair in zip(percs, VaR):\n",
    "        print('{:16.2f} {:16.3f}'.format(100 - pair[0], -pair[1])) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confidence Level    Value-at-Risk\n",
      "---------------------------------\n",
      "           99.99          162.570\n",
      "           99.90          161.348\n",
      "           99.00          132.382\n",
      "           97.50          122.913\n",
      "           95.00          100.950\n",
      "           90.00           62.622\n"
     ]
    }
   ],
   "source": [
    "print_var()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "hourly = risk.resample('1H', label='right').last()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "hourly['return'] = np.log(hourly['equity'] /\n",
    "                         hourly['equity'].shift(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "VaR = scs.scoreatpercentile(equity * hourly['return'], percs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confidence Level    Value-at-Risk\n",
      "---------------------------------\n",
      "           99.99          252.460\n",
      "           99.90          251.744\n",
      "           99.00          244.593\n",
      "           97.50          232.674\n",
      "           95.00          125.498\n",
      "           90.00           61.701\n"
     ]
    }
   ],
   "source": [
    "print_var()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Persisting the Model Object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "algorithm = {'model': model, 'mu': mu, 'std': std}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "pickle.dump(algorithm, open('algorithm.pkl', 'wb'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Online Algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "algorithm = pickle.load(open('algorithm.pkl', 'rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AdaBoostClassifier(algorithm='SAMME.R',\n",
       "                   base_estimator=DecisionTreeClassifier(ccp_alpha=0.0,\n",
       "                                                         class_weight=None,\n",
       "                                                         criterion='gini',\n",
       "                                                         max_depth=2,\n",
       "                                                         max_features=None,\n",
       "                                                         max_leaf_nodes=None,\n",
       "                                                         min_impurity_decrease=0.0,\n",
       "                                                         min_impurity_split=None,\n",
       "                                                         min_samples_leaf=15,\n",
       "                                                         min_samples_split=2,\n",
       "                                                         min_weight_fraction_leaf=0.0,\n",
       "                                                         presort='deprecated',\n",
       "                                                         random_state=100,\n",
       "                                                         splitter='best'),\n",
       "                   learning_rate=1.0, n_estimators=15, random_state=100)"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "algorithm['model']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "class MLTrader(tpqoa.tpqoa):\n",
    "    def __init__(self, config_file, algorithm):\n",
    "        super(MLTrader, self).__init__(config_file)\n",
    "        self.model = algorithm['model']\n",
    "        self.mu = algorithm['mu']\n",
    "        self.std = algorithm['std']\n",
    "        self.units = 100000\n",
    "        self.position = 0\n",
    "        self.bar = '5s'\n",
    "        self.window = 2\n",
    "        self.lags = 6\n",
    "        self.min_length = self.lags + self.window + 1\n",
    "        self.features = ['return', 'vol', 'mom', 'sma', 'min', 'max']\n",
    "        self.raw_data = pd.DataFrame()\n",
    "    def prepare_features(self):\n",
    "        self.data['return'] = np.log(self.data['mid'] /\n",
    "                                     self.data['mid'].shift(1))\n",
    "        self.data['vol'] = self.data['return'].rolling(\n",
    "            self.window).std()\n",
    "        self.data['mom'] = np.sign(\n",
    "            self.data['return'].rolling(self.window).mean())\n",
    "        self.data['sma'] = self.data['mid'].rolling(self.window).mean()\n",
    "        self.data['min'] = self.data['mid'].rolling(self.window).min()\n",
    "        self.data['max'] = self.data['mid'].rolling(self.window).max()\n",
    "        self.data.dropna(inplace=True)\n",
    "        self.data[self.features] -= self.mu\n",
    "        self.data[self.features] /= self.std\n",
    "        self.cols = []\n",
    "        for f in self.features:\n",
    "            for lag in range(1, self.lags + 1):\n",
    "                col = f'{f}_lag_{lag}'\n",
    "                self.data[col] = self.data[f].shift(lag)\n",
    "                self.cols.append(col)\n",
    "    def on_success(self, time, bid, ask):\n",
    "        # print(self.ticks, 20 * ' ', end='\\r')\n",
    "        df = pd.DataFrame({'bid': float(bid), 'ask': float(ask)},\n",
    "                         index=[pd.Timestamp(time).tz_localize(None)])\n",
    "        self.raw_data = self.raw_data.append(df)\n",
    "        self.data = self.raw_data.resample(self.bar,\n",
    "                                label='right').last().ffill()\n",
    "        self.data = self.data.iloc[:-1]\n",
    "        if len(self.data) > self.min_length:\n",
    "            self.min_length +=1\n",
    "            self.data['mid'] = (self.data['bid'] +\n",
    "                                self.data['ask']) / 2\n",
    "            self.prepare_features()\n",
    "            features = self.data[\n",
    "                self.cols].iloc[-1].values.reshape(1, -1)\n",
    "            signal = self.model.predict(features)[0]\n",
    "            print(f'NEW SIGNAL: {signal}', end='\\r')\n",
    "            if self.position in [0, -1] and signal == 1:\n",
    "                print('*** GOING LONG ***')\n",
    "                self.create_order(self.stream_instrument,\n",
    "                            units=(1 - self.position) * self.units)\n",
    "                self.position = 1\n",
    "            elif self.position in [0, 1] and signal == -1:\n",
    "                print('*** GOING SHORT ***')\n",
    "                self.create_order(self.stream_instrument,\n",
    "                            units=-(1 + self.position) * self.units)\n",
    "                self.position = -1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "mlt = MLTrader('../pyalgo.cfg', algorithm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "*** GOING LONG ***\n",
      "\n",
      "\n",
      " {'id': '992', 'time': '2020-06-15T15:38:41.229125978Z', 'userID': 13834683, 'accountID': '101-004-13834683-001', 'batchID': '991', 'requestID': '42707116835048495', 'type': 'ORDER_FILL', 'orderID': '991', 'instrument': 'EUR_USD', 'units': '100000.0', 'gainQuoteHomeConversionFactor': '0.882639939534', 'lossQuoteHomeConversionFactor': '0.891510692695', 'price': 1.12737, 'fullVWAP': 1.12737, 'fullPrice': {'type': 'PRICE', 'bids': [{'price': 1.12723, 'liquidity': '10000000'}], 'asks': [{'price': 1.12737, 'liquidity': '10000000'}], 'closeoutBid': 1.12723, 'closeoutAsk': 1.12737}, 'reason': 'MARKET_ORDER', 'pl': '0.0', 'financing': '0.0', 'commission': '0.0', 'guaranteedExecutionFee': '0.0', 'accountBalance': '99143.8015', 'tradeOpened': {'tradeID': '992', 'units': '100000.0', 'price': 1.12737, 'guaranteedExecutionFee': '0.0', 'halfSpreadCost': '6.2095', 'initialMarginRequired': '3330.0'}, 'halfSpreadCost': '6.2095'} \n",
      "\n",
      "*** CLOSING OUT ***\n",
      "\n",
      "\n",
      " {'id': '994', 'time': '2020-06-15T15:41:30.840800760Z', 'userID': 13834683, 'accountID': '101-004-13834683-001', 'batchID': '993', 'requestID': '42707117544392823', 'type': 'ORDER_FILL', 'orderID': '993', 'instrument': 'EUR_USD', 'units': '-100000.0', 'gainQuoteHomeConversionFactor': '0.882620365297', 'lossQuoteHomeConversionFactor': '0.891490921732', 'price': 1.12726, 'fullVWAP': 1.12726, 'fullPrice': {'type': 'PRICE', 'bids': [{'price': 1.12726, 'liquidity': '10000000'}], 'asks': [{'price': 1.12739, 'liquidity': '10000000'}], 'closeoutBid': 1.12726, 'closeoutAsk': 1.12739}, 'reason': 'MARKET_ORDER', 'pl': '-9.8064', 'financing': '0.0', 'commission': '0.0', 'guaranteedExecutionFee': '0.0', 'accountBalance': '99133.9951', 'tradesClosed': [{'tradeID': '992', 'units': '-100000.0', 'price': 1.12726, 'realizedPL': '-9.8064', 'financing': '0.0', 'guaranteedExecutionFee': '0.0', 'halfSpreadCost': '5.7659'}], 'halfSpreadCost': '5.7659'} \n",
      "\n"
     ]
    }
   ],
   "source": [
    "mlt.stream_data(instrument, stop=250)\n",
    "print('*** CLOSING OUT ***')\n",
    "mlt.create_order(mlt.stream_instrument,\n",
    "                  units=-mlt.position * mlt.units)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Logging and Monitoring"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#\n",
      "# Automated ML-Based Trading Strategy for Oanda\n",
      "# Online Algorithm, Logging, Monitoring\n",
      "#\n",
      "# Python for Algorithmic Trading\n",
      "# (c) Dr. Yves J. Hilpisch\n",
      "#\n",
      "import zmq\n",
      "import tpqoa\n",
      "import pickle\n",
      "import numpy as np\n",
      "import pandas as pd\n",
      "import datetime as dt\n",
      "\n",
      "log_file = 'automated_strategy.log'\n",
      "\n",
      "# loads the persisted algorithm object\n",
      "algorithm = pickle.load(open('algorithm.pkl', 'rb'))\n",
      "\n",
      "# sets up the socket communication via ZeroMQ (here: \"publisher\")\n",
      "context = zmq.Context()\n",
      "socket = context.socket(zmq.PUB)\n",
      "\n",
      "# this binds the socket communication to all IP addresses of the machine\n",
      "socket.bind('tcp://127.0.0.1:5555')\n",
      "\n",
      "# recreating the log file\n",
      "with open(log_file, 'w') as f:\n",
      "    f.write('*** NEW LOG FILE ***\\n')\n",
      "    f.write(str(dt.datetime.now()) + '\\n\\n\\n')\n",
      "\n",
      "\n",
      "def logger_monitor(message, time=True, sep=True):\n",
      "    ''' Custom logger and monitor function.\n",
      "    '''\n",
      "    with open(log_file, 'a') as f:\n",
      "        t = str(dt.datetime.now())\n",
      "        msg = ''\n",
      "        if time:\n",
      "            msg += '\\n' + t + '\\n'\n",
      "        if sep:\n",
      "            msg += 80 * '=' + '\\n'\n",
      "        msg += message + '\\n\\n'\n",
      "        # sends the message via the socket\n",
      "        socket.send_string(msg)\n",
      "        # writes the message to the log file\n",
      "        f.write(msg)\n",
      "\n",
      "\n",
      "class MLTrader(tpqoa.tpqoa):\n",
      "    def __init__(self, config_file, algorithm):\n",
      "        super(MLTrader, self).__init__(config_file)\n",
      "        self.model = algorithm['model']\n",
      "        self.mu = algorithm['mu']\n",
      "        self.std = algorithm['std']\n",
      "        self.units = 100000\n",
      "        self.position = 0\n",
      "        self.bar = '2s'\n",
      "        self.window = 2\n",
      "        self.lags = 6\n",
      "        self.min_length = self.lags + self.window + 1\n",
      "        self.features = ['return', 'vol', 'mom', 'sma', 'min', 'max']\n",
      "        self.raw_data = pd.DataFrame()\n",
      "\n",
      "    def prepare_features(self):\n",
      "        self.data['return'] = np.log(\n",
      "            self.data['mid'] / self.data['mid'].shift(1))\n",
      "        self.data['vol'] = self.data['return'].rolling(self.window).std()\n",
      "        self.data['mom'] = np.sign(\n",
      "            self.data['return'].rolling(self.window).mean())\n",
      "        self.data['sma'] = self.data['mid'].rolling(self.window).mean()\n",
      "        self.data['min'] = self.data['mid'].rolling(self.window).min()\n",
      "        self.data['max'] = self.data['mid'].rolling(self.window).max()\n",
      "        self.data.dropna(inplace=True)\n",
      "        self.data[self.features] -= self.mu\n",
      "        self.data[self.features] /= self.std\n",
      "        self.cols = []\n",
      "        for f in self.features:\n",
      "            for lag in range(1, self.lags + 1):\n",
      "                col = f'{f}_lag_{lag}'\n",
      "                self.data[col] = self.data[f].shift(lag)\n",
      "                self.cols.append(col)\n",
      "\n",
      "    def report_trade(self, pos, order):\n",
      "        ''' Prints, logs and sends trade data.\n",
      "        '''\n",
      "        out = '\\n\\n' + 80 * '=' + '\\n'\n",
      "        out += '*** GOING {} *** \\n'.format(pos) + '\\n'\n",
      "        out += str(order) + '\\n'\n",
      "        out += 80 * '=' + '\\n'\n",
      "        logger_monitor(out)\n",
      "        print(out)\n",
      "\n",
      "    def on_success(self, time, bid, ask):\n",
      "        print(self.ticks, 20 * ' ', end='\\r')\n",
      "        df = pd.DataFrame({'bid': float(bid), 'ask': float(ask)},\n",
      "                          index=[pd.Timestamp(time).tz_localize(None)])\n",
      "        self.raw_data = self.raw_data.append(df)\n",
      "        self.data = self.raw_data.resample(\n",
      "            self.bar, label='right').last().ffill()\n",
      "        self.data = self.data.iloc[:-1]\n",
      "        if len(self.data) > self.min_length:\n",
      "            logger_monitor('NUMBER OF TICKS: {} | '.format(self.ticks) +\n",
      "                           'NUMBER OF BARS: {}'.format(self.min_length))\n",
      "            self.min_length += 1\n",
      "            self.data['mid'] = (self.data['bid'] + self.data['ask']) / 2\n",
      "            self.prepare_features()\n",
      "            features = self.data[self.cols].iloc[-1].values.reshape(1, -1)\n",
      "            signal = self.model.predict(features)[0]\n",
      "            # logs and sends major financial information\n",
      "            logger_monitor('MOST RECENT DATA\\n' +\n",
      "                           str(self.data[self.cols].tail()),\n",
      "                           False)\n",
      "            logger_monitor('features:\\n' + str(features) + '\\n' +\n",
      "                           'position: ' + str(self.position) + '\\n' +\n",
      "                           'signal:   ' + str(signal), False)\n",
      "            if self.position in [0, -1] and signal == 1:  # going long?\n",
      "                order = self.create_order(self.stream_instrument,\n",
      "                                          units=(1 - self.position) *\n",
      "                                          self.units,\n",
      "                                          suppress=True, ret=True)\n",
      "                self.report_trade('LONG', order)\n",
      "                self.position = 1\n",
      "            elif self.position in [0, 1] and signal == -1:  # going short?\n",
      "                order = self.create_order(self.stream_instrument,\n",
      "                                          units=-(1 + self.position) *\n",
      "                                          self.units,\n",
      "                                          suppress=True, ret=True)\n",
      "                self.report_trade('SHORT', order)\n",
      "                self.position = -1\n",
      "            else:  # no trade\n",
      "                logger_monitor('*** NO TRADE PLACED ***')\n",
      "\n",
      "            logger_monitor('*** END OF CYCLE ***\\n\\n', False, False)\n",
      "\n",
      "\n",
      "if __name__ == '__main__':\n",
      "    mlt = MLTrader('../pyalgo.cfg', algorithm)\n",
      "    mlt.stream_data('EUR_USD', stop=150)\n",
      "    order = mlt.create_order(mlt.stream_instrument,\n",
      "                             units=-mlt.position * mlt.units,\n",
      "                             suppress=True, ret=True)\n",
      "    mlt.position = 0\n",
      "    mlt.report_trade('NEUTRAL', order)\n"
     ]
    }
   ],
   "source": [
    "!cat automated_strategy.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#\n",
      "# Automated ML-Based Trading Strategy for Oanda\n",
      "# Strategy Monitoring via Socket Communication\n",
      "#\n",
      "# Python for Algorithmic Trading\n",
      "# (c) Dr. Yves J. Hilpisch\n",
      "#\n",
      "import zmq\n",
      "\n",
      "# sets up the socket communication via ZeroMQ (here: \"subscriber\")\n",
      "context = zmq.Context()\n",
      "socket = context.socket(zmq.SUB)\n",
      "\n",
      "# adjust the IP address to reflect the remote location\n",
      "# socket.connect('tcp://REMOTE_IP_ADDRESS:5555')\n",
      "\n",
      "# local IP address used for testing\n",
      "socket.connect('tcp://127.0.0.1:5555')\n",
      "\n",
      "\n",
      "# configures the socket to retrieve every message\n",
      "socket.setsockopt_string(zmq.SUBSCRIBE, '')\n",
      "\n",
      "while True:\n",
      "    msg = socket.recv_string()\n",
      "    print(msg)\n"
     ]
    }
   ],
   "source": [
    "!cat strategy_monitoring.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"http://hilpisch.com/tpq_logo.png\" alt=\"The Python Quants\" width=\"35%\" align=\"right\" border=\"0\"><br>\n",
    "\n",
    "<a href=\"http://tpq.io\" target=\"_blank\">http://tpq.io</a> | <a href=\"http://twitter.com/dyjh\" target=\"_blank\">@dyjh</a> | <a href=\"mailto:training@tpq.io\">training@tpq.io</a>"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
